Mobile offloading game against smart attacks

Liang Xiao, Caixia Xie, Tianhua Chen, Huaiyu Dai, H. Vincent Poor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations


Mobile cloud computing enables mobile devices such as smartphones to offload data to clouds via access points or base stations to reduce energy consumption and improve their user experience. However, mobile offloading is vulnerable to smart attackers that can exploit software defined radios to perform multiple types of attacks, such as spoofing and jamming, based on the status of radio environments and the offloading process. In this paper, a mobile offloading game against smart attacks, in which a mobile device chooses its offloading rate, a smart attacker chooses the type of its attack, and a security agent decides whether to initiate full data protection for the offloading, is investigated. The interactions among a mobile device, a smart attacker and a security agent are formulated as a secure mobile offloading game. The Nash equilibrium (NE) and its existence conditions are provided for the static secure offloading game. A Q-learning based mobile offloading strategy is proposed for dynamic environments to address smart attacks, in which the mobile device is unaware of the system parameters. Simulation results show that the proposed offloading strategy improves both the offloading rate and the security performance.

Original languageEnglish (US)
Title of host publication2016 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781467399555
StatePublished - Sep 6 2016
Event35th IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2016 - San Francisco, United States
Duration: Apr 10 2016Apr 14 2016

Publication series

NameProceedings - IEEE INFOCOM
ISSN (Print)0743-166X


Other35th IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2016
Country/TerritoryUnited States
CitySan Francisco

All Science Journal Classification (ASJC) codes

  • General Computer Science
  • Electrical and Electronic Engineering


  • Mobile offloading
  • big data
  • game theory
  • jamming
  • smart attacks
  • spoofing


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